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1. Deterministic Arterial Input Function selection in DCE-MRI for automation of quantitative perfusion calculation of colorectal cancer.

Author

Tönnes C, Janssen S, Golla AK, Uhrig T, Chung K, Schad LR, and Zöllner FG

Subjects
Automation, Contrast Media, Humans, Image Processing, Computer-Assisted, Reproducibility of Results, Algorithms, Arteries diagnostic imaging, Arteries physiopathology, Blood Circulation, Colorectal Neoplasms diagnostic imaging, Colorectal Neoplasms physiopathology, Magnetic Resonance Imaging
Abstract

Development of a deterministic algorithm for automated detection of the Arterial Input Function (AIF) in DCE-MRI of colorectal cancer. Using a filter pipeline to determine the AIF region of interest. Comparison to algorithms from literature with mean squared error and quantitative perfusion parameter K trans . The AIF found by our algorithm has a lower mean squared error (0.0022 ± 0.0021) in reference to the manual annotation than comparable algorithms. The error of K trans (21.52 ± 17.2%) is lower than that of other algorithms. Our algorithm generates reproducible results and thus supports a robust and comparable perfusion analysis., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Published
2021
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